Transfer learning for natural language processing /

Transfer learning for natural language processing /

Detaylı Bibliyografya
Yazar:	Azunre, Paul (Yazar)
Materyal Türü:	Kitap
Dil:	English
Baskı/Yayın Bilgisi:	Shelter Island, NY : Manning Publications Co., c2021.
Konular:	Natural language processing (Computer science). Transfer learning (Machine learning).
Classic Catalogue:	View this record in Classic Catalogue

Benzer Materyaller

Identifying hate speech of Bangla language text using natural language processing
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Deep learning for natural language processing : creating neural networks with Python /
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Natural language processing with PyTorch : build intelligent language applications using deep learning /
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Prostate cancer detection using deep learning neural network with transfer learning approach
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Practical natural language processing : a comprehensive guide to building real-world NLP systems /
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Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /
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Baskı/Yayın Bilgisi: (2021)

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
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Baskı/Yayın Bilgisi: (2020)

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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Sentiment analysis using Natural Language Processing (NLP) & deep learning
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Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
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Human sentiment analysis using natural language processing
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Corn leaf disease detection using deep convolution neural network
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Introduction to natural language processing /
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Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
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Automated image caption generator in Bangla using multimodal learning
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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
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Baskı/Yayın Bilgisi: (2022)

How languages are learned /
Yazar:: Lightbown, Patsy M.
Baskı/Yayın Bilgisi: (2013)

Damaged road detection using Image Processing and Deep Learning
Yazar:: Swadesh, Shimran Mahbub, ve diğerleri
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Handbook of natural language processing /
Baskı/Yayın Bilgisi: (2010)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
Yazar:: Rafat, Md. Tasbi, ve diğerleri
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Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Classifying insect pests from image data using deep learning
Yazar:: Mohsin, Md. Raiyan Bin, ve diğerleri
Baskı/Yayın Bilgisi: (2022)

Representation learning for natural language processing /
Yazar:: Liu, Zhiyuan
Baskı/Yayın Bilgisi: (2020)

Natural language processing with Python and spaCy : a practical introduction /
Yazar:: Vasiliev, Yuli
Baskı/Yayın Bilgisi: (2020)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
Yazar:: Shakil, Mahmudul Hasan
Baskı/Yayın Bilgisi: (2023)

NLP-based AI robot for intelligent interaction
Yazar:: Dastagir, Golam, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Deep convolutional GAN-based data augmentation for medical image classification
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Machine fault diagnosis using a modified transferable CNN
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Heart disease prediction using machine learning algorithms
Yazar:: Ali, Musfiq, ve diğerleri
Baskı/Yayın Bilgisi: (2019)

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
Yazar:: Islam, Md. Nazmul, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Natural language processing in action : understanding, analyzing, and generating text with Python /
Yazar:: Lane, Hobson, ve diğerleri
Baskı/Yayın Bilgisi: (2019)

Sentiment analysis in Bengali Text using NLP
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Medical image reader powered by artificial intelligence
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Baskı/Yayın Bilgisi: (2024)

Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
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A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
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Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
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Baskı/Yayın Bilgisi: (2024)